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DBMS > Datomic vs. InfluxDB

System Properties Comparison Datomic vs. InfluxDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonInfluxDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDBMS for storing time series, events and metrics
Primary database modelRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#143  Overall
#65  Relational DBMS
Score21.50
Rank#28  Overall
#1  Time Series DBMS
Websitewww.datomic.comwww.influxdata.com/­products/­influxdb-overview
Technical documentationdocs.datomic.comdocs.influxdata.com/­influxdb
DeveloperCognitect
Initial release20122013
Current release1.0.7180, July 20242.7.6, April 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureGo
Server operating systemsAll OS with a Java VMLinux
OS X infothrough Homebrew
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Strings
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesno
SQL infoSupport of SQLnoSQL-like query language
APIs and other access methodsRESTful HTTP APIHTTP API
JSON over UDP
Supported programming languagesClojure
Java
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsno
TriggersBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes infoDepending on used storage engine
User concepts infoAccess controlnosimple rights management via user accounts
More information provided by the system vendor
DatomicInfluxDB
News

Telegraf 1.34 Release Notes
12 March 2025

Alerting with InfluxDB 3 Core and Enterprise
11 March 2025

An Introduction to Database Security
6 March 2025

Building Your First Python Plugin for the InfluxDB 3 Processing Engine
4 March 2025

InfluxDB 3 Core and Enterprise Architecture Highlights
27 February 2025

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More resources
DatomicInfluxDB
DB-Engines blog posts

Why Build a Time Series Data Platform?
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1 June 2015, Paul Andlinger

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